Tell Me About Your Day: Designing a Conversational Agent for Time and Stress Management

Libby Ferland; Jude Sauve; Michael Lucke; Runpeng Nie; Malik Khadar; Serguei Pakhomov; Maria Gini

doi:10.1007/978-3-030-53352-6_28

Tell Me About Your Day: Designing a Conversational Agent for Time and Stress Management

Libby Ferland, Jude Sauve, Michael Lucke, Runpeng Nie, Malik Khadar, Serguei Pakhomov, Maria Gini

Research output: Chapter in Book/Report/Conference proceeding › Chapter

1 Scopus citations

Abstract

Growing interest in applications of AI in healthcare has led to a similarly elevated interest in fully integrated smart systems in which disparate technologies, such as biometric sensors and conversational agents, are combined to address health problems like medical event detection and response. Here we describe an ongoing project to develop a supportive health technology for stress detection and intervention and discuss a pilot application for one component, the conversational agent.

Original language	English (US)
Title of host publication	Explainable AI in Healthcare and Medicine - Building a Culture of Transparency and Accountability
Editors	Arash Shaban-Nejad, Martin Michalowski, David L. Buckeridge
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	297-303
Number of pages	7
ISBN (Print)	9783030533519
DOIs	https://doi.org/10.1007/978-3-030-53352-6_28
State	Published - Nov 3 2020
Event	AAAI International Workshop on Health Intelligence, W3PHIAI 2020 - New York City, United States Duration: Feb 7 2020 → Feb 7 2020

Publication series

Name	Studies in Computational Intelligence
Volume	914
ISSN (Print)	1860-949X
ISSN (Electronic)	1860-9503

Conference

Conference	AAAI International Workshop on Health Intelligence, W3PHIAI 2020
Country/Territory	United States
City	New York City
Period	2/7/20 → 2/7/20

Bibliographical note

Funding Information:
Acknowledgements Work supported in part by the University of Minnesota Grand Challenges Research, NSF I/UCRC (IIP-1439728) and NSF EAGER (IIS 1927190) grants. The authors would like to thank Anja Wiesner and Sarah Schmoller for their assistance in model and data development.

Publisher Copyright:
© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

Publisher link

10.1007/978-3-030-53352-6_28

Find It

Find It at U of M Libraries

Cite this

Ferland, L., Sauve, J., Lucke, M., Nie, R., Khadar, M., Pakhomov, S., & Gini, M. (2020). Tell Me About Your Day: Designing a Conversational Agent for Time and Stress Management. In A. Shaban-Nejad, M. Michalowski, & D. L. Buckeridge (Eds.), Explainable AI in Healthcare and Medicine - Building a Culture of Transparency and Accountability (pp. 297-303). (Studies in Computational Intelligence; Vol. 914). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-53352-6_28

Tell Me About Your Day: Designing a Conversational Agent for Time and Stress Management. / Ferland, Libby; Sauve, Jude; Lucke, Michael et al.
Explainable AI in Healthcare and Medicine - Building a Culture of Transparency and Accountability. ed. / Arash Shaban-Nejad; Martin Michalowski; David L. Buckeridge. Springer Science and Business Media Deutschland GmbH, 2020. p. 297-303 (Studies in Computational Intelligence; Vol. 914).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Ferland, L, Sauve, J, Lucke, M, Nie, R, Khadar, M, Pakhomov, S & Gini, M 2020, Tell Me About Your Day: Designing a Conversational Agent for Time and Stress Management. in A Shaban-Nejad, M Michalowski & DL Buckeridge (eds), Explainable AI in Healthcare and Medicine - Building a Culture of Transparency and Accountability. Studies in Computational Intelligence, vol. 914, Springer Science and Business Media Deutschland GmbH, pp. 297-303, AAAI International Workshop on Health Intelligence, W3PHIAI 2020, New York City, United States, 2/7/20. https://doi.org/10.1007/978-3-030-53352-6_28

Ferland L, Sauve J, Lucke M, Nie R, Khadar M, Pakhomov S et al. Tell Me About Your Day: Designing a Conversational Agent for Time and Stress Management. In Shaban-Nejad A, Michalowski M, Buckeridge DL, editors, Explainable AI in Healthcare and Medicine - Building a Culture of Transparency and Accountability. Springer Science and Business Media Deutschland GmbH. 2020. p. 297-303. (Studies in Computational Intelligence). doi: 10.1007/978-3-030-53352-6_28

Ferland, Libby ; Sauve, Jude ; Lucke, Michael et al. / Tell Me About Your Day : Designing a Conversational Agent for Time and Stress Management. Explainable AI in Healthcare and Medicine - Building a Culture of Transparency and Accountability. editor / Arash Shaban-Nejad ; Martin Michalowski ; David L. Buckeridge. Springer Science and Business Media Deutschland GmbH, 2020. pp. 297-303 (Studies in Computational Intelligence).

@inbook{c99d090fff4b4b639d9f5ee3fffdfc53,

title = "Tell Me About Your Day: Designing a Conversational Agent for Time and Stress Management",

abstract = "Growing interest in applications of AI in healthcare has led to a similarly elevated interest in fully integrated smart systems in which disparate technologies, such as biometric sensors and conversational agents, are combined to address health problems like medical event detection and response. Here we describe an ongoing project to develop a supportive health technology for stress detection and intervention and discuss a pilot application for one component, the conversational agent.",

author = "Libby Ferland and Jude Sauve and Michael Lucke and Runpeng Nie and Malik Khadar and Serguei Pakhomov and Maria Gini",

note = "Funding Information: Acknowledgements Work supported in part by the University of Minnesota Grand Challenges Research, NSF I/UCRC (IIP-1439728) and NSF EAGER (IIS 1927190) grants. The authors would like to thank Anja Wiesner and Sarah Schmoller for their assistance in model and data development. Publisher Copyright: {\textcopyright} 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.; AAAI International Workshop on Health Intelligence, W3PHIAI 2020 ; Conference date: 07-02-2020 Through 07-02-2020",

year = "2020",

month = nov,

day = "3",

doi = "10.1007/978-3-030-53352-6_28",

language = "English (US)",

isbn = "9783030533519",

series = "Studies in Computational Intelligence",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "297--303",

editor = "Arash Shaban-Nejad and Martin Michalowski and Buckeridge, {David L.}",

booktitle = "Explainable AI in Healthcare and Medicine - Building a Culture of Transparency and Accountability",

address = "Germany",

}

TY - CHAP

T1 - Tell Me About Your Day

T2 - AAAI International Workshop on Health Intelligence, W3PHIAI 2020

AU - Ferland, Libby

AU - Sauve, Jude

AU - Lucke, Michael

AU - Nie, Runpeng

AU - Khadar, Malik

AU - Pakhomov, Serguei

AU - Gini, Maria

N1 - Funding Information: Acknowledgements Work supported in part by the University of Minnesota Grand Challenges Research, NSF I/UCRC (IIP-1439728) and NSF EAGER (IIS 1927190) grants. The authors would like to thank Anja Wiesner and Sarah Schmoller for their assistance in model and data development. Publisher Copyright: © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

PY - 2020/11/3

Y1 - 2020/11/3

N2 - Growing interest in applications of AI in healthcare has led to a similarly elevated interest in fully integrated smart systems in which disparate technologies, such as biometric sensors and conversational agents, are combined to address health problems like medical event detection and response. Here we describe an ongoing project to develop a supportive health technology for stress detection and intervention and discuss a pilot application for one component, the conversational agent.

AB - Growing interest in applications of AI in healthcare has led to a similarly elevated interest in fully integrated smart systems in which disparate technologies, such as biometric sensors and conversational agents, are combined to address health problems like medical event detection and response. Here we describe an ongoing project to develop a supportive health technology for stress detection and intervention and discuss a pilot application for one component, the conversational agent.

UR - http://www.scopus.com/inward/record.url?scp=85097054746&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85097054746&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-53352-6_28

DO - 10.1007/978-3-030-53352-6_28

M3 - Chapter

AN - SCOPUS:85097054746

SN - 9783030533519

T3 - Studies in Computational Intelligence

SP - 297

EP - 303

BT - Explainable AI in Healthcare and Medicine - Building a Culture of Transparency and Accountability

A2 - Shaban-Nejad, Arash

A2 - Michalowski, Martin

A2 - Buckeridge, David L.

PB - Springer Science and Business Media Deutschland GmbH

Y2 - 7 February 2020 through 7 February 2020

ER -

Tell Me About Your Day: Designing a Conversational Agent for Time and Stress Management

Abstract

Publication series

Conference

Bibliographical note

Publisher link

Find It

Other files and links

Fingerprint

Cite this